Full-Stack Engineer | Web Apps & Website Fixes
DevOps & MLOps engineer who designs what he ships.
1,866 contributions on my GitHub graph 🟩, green all year, until 3 AM today, when the whole thing turned orange 🟧
When you run production systems, green turning orange is how a bad night starts 😬 So I checked the monitoring 📊, then went through the logs 🔍, looking for whatever had failed.
Nothing had. Under the graph, GitHub had written "Happy Halloween!" 🎃
Happy Halloween, everyone 👻 What's your best 3 AM false alarm? 👇
🔗 github.com/Aswin-Shine
#Halloween #DevOps #GitHub #MotionDesign
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Full Stack & AI Developer | Next.js · FastAPI · LLMs
Built an AI-powered orthopedic healthcare assistant that helps patients describe symptoms, receive general orthopedic guidance, and book appointments through a natural conversational interface. The application combines a Next.js frontend with a FastAPI backend, AI-powered chat, streaming responses, RAG-ready architecture, and appointment scheduling integration. Designed with healthcare safety in mind, it includes structured patient intake, emergency symptom detection, and a scalable architecture that can be extended to WhatsApp, clinic CRMs, and other healthcare platforms.
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I developed a modern CRM platform that helps businesses manage leads efficiently through a centralized dashboard. The application enables users to organize their sales pipeline, upload lead data in bulk, and quickly search, filter, and manage customer information.
I built responsive and reusable user interfaces using Next.js, React, and Tailwind CSS, with a strong focus on performance and user experience. The platform leverages Server-Side Rendering (SSR) for improved SEO and faster page loads, while code-splitting and lazy loading reduce the initial JavaScript bundle for a smoother experience.
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Role: Backend Developer (Node.js, Express.js, MongoDB, REST APIs)
ScrapBag is a startup that enables users to sell scrap online through a seamless pickup and payment experience. I was responsible for developing the backend services that powered the customer platform as well as the internal fleet management system.
For the customer application, I built scalable REST APIs for user authentication, scrap pickup requests, order management, and wallet transactions. When a user scheduled a scrap pickup, the system automatically created an order and assigned it to the operations workflow.
I also developed the backend for the fleet management platform used by drivers and field executives. Each driver was associated with a vehicle and could view assigned pickup requests, navigate their collection route, update pickup status, and mark orders as completed in real time.
Once a pickup was successfully completed, the backend calculated the scrap value, updated the order status, and automatically credited the customer's account with the corresponding amount. This ensured a smooth end-to-end workflow from booking a pickup to receiving payment.
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Full-Stack Developer building AI Agents & RAG Systems
FinSense - AI-Powered NPA Prevention Platform for Banking
AI-powered, post-disbursement loan health monitoring system built for SBI-scale banking use cases. Continuously monitors borrower financial behavior after loan disbursement, scores risk on a 0–100 scale across 4 tiers using XGBoost with SHAP-based explainability, and deploys a conversational AI agent to proactively engage at-risk borrowers 60–90 days before default — instead of only scoring creditworthiness at application time like traditional systems.
Built the FastAPI backend (loan, risk, agent, and dashboard routers), automated risk re-scoring via Celery + Redis, and real-time dashboard updates via WebSockets, with a React + Tailwind frontend for officer-facing risk visualization.
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SENTINEL - Edge AI Driver Assistance System
Backend Lead for an edge AI ADAS (driver assistance) system built for Indian road conditions. Multi-stage ML pipeline covering sensor fusion, scene classification, risk scoring, GradCAM/XAI explainability, and federated learning. Built the backend and deployment pipeline, integrating ONNX and PyTorch runtimes to serve model inference in production.
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RepoSphere - GitHub-Inspired Version Control Platform
Full-stack, GitHub-inspired platform with JWT authentication, repository management, issue tracking, and real-time search. Built a RESTful API with user dashboards, and reduced code redundancy by 35% through modular architecture. Deployed on AWS Amplify.
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Financial Decision Intelligence Platform — Multi-Agent Risk Analysis
Multi-agent platform (LangGraph) that ingests SEC 10-K filings via XBRL extraction, runs Altman Z-Score and Piotroski F-Score risk models, and generates investment committee reports. Pipeline includes RAG-based risk retrieval (FAISS + Sentence Transformers), XGBoost ML inference, and Gemini API report generation — served through a FastAPI backend with /analyze, /compare, and /report endpoints for multi-company investment ranking.
Stack: Python, LangChain, LangGraph, FAISS, XGBoost, FastAPI
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